Triple
T7942826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | (What's the Story) Morning Glory? |
E184430
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object | Roll with It |
E184431
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Roll with It | Statement: [(What's the Story) Morning Glory?, notableTrack, Roll with It]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roll with It Context triple: [(What's the Story) Morning Glory?, notableTrack, Roll with It]
-
A.
Roll With It
chosen
"Roll With It" is a 1995 Britpop single by English rock band Oasis, known for its upbeat, anthemic style and its role in the famous chart battle with Blur.
-
B.
Roll With It
"Roll With It" is a 1988 blue-eyed soul and rock song by Steve Winwood that became a major hit and title track of his Grammy-nominated album.
-
C.
Let It Roll
"Let It Roll" is a song featured on the album "Radio Silence."
-
D.
Let Me Roll It
"Let Me Roll It" is a bluesy rock song by Paul McCartney and Wings, noted for its raw guitar riff and vocal style reminiscent of John Lennon.
-
E.
The Roller
"The Roller" is a 2011 rock single by English band Beady Eye, noted for its Beatlesque sound and status as one of the group's best-known songs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0d31548190af54a2f3bbb8cad3 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5650cfb08190846e040f85c8369d |
completed | March 31, 2026, 11:18 p.m. |
Created at: March 30, 2026, 5:09 p.m.